|
|
Absolute deviation, 绝对离差
7 |9 _* V+ V8 P4 Z* g* J, XAbsolute number, 绝对数$ {7 E0 n" J+ a6 i1 L
Absolute residuals, 绝对残差- u6 k K! d$ V5 G: v
Acceleration array, 加速度立体阵7 ]- L9 G2 q' {- U) W
Acceleration in an arbitrary direction, 任意方向上的加速度. W7 X1 s! {% P& v! |
Acceleration normal, 法向加速度% \+ K9 U0 ~( U1 E g6 x/ V
Acceleration space dimension, 加速度空间的维数3 M% V+ i+ u6 k- y" L5 L& b/ u
Acceleration tangential, 切向加速度7 p# d+ n3 }% P' T! W0 }
Acceleration vector, 加速度向量7 k3 `! f3 _3 O5 ~+ S% h& @- p
Acceptable hypothesis, 可接受假设
" X0 Y4 Q/ g V: w0 ]Accumulation, 累积
5 D! Z n T( y2 C2 CAccuracy, 准确度7 J7 |8 h3 k3 z) C
Actual frequency, 实际频数
* Y* O, V# f# F) FAdaptive estimator, 自适应估计量
' t8 [5 T& R9 lAddition, 相加1 H# Y" e( C2 N/ g3 u7 [
Addition theorem, 加法定理
+ n( R! M$ e: I# m# h3 q3 OAdditivity, 可加性- }) L; z1 \! H
Adjusted rate, 调整率# t1 \# x* h9 Q3 t# Q+ E
Adjusted value, 校正值
! H/ P, f% U, |2 r& BAdmissible error, 容许误差4 [ F \6 N' L3 w1 ~) d
Aggregation, 聚集性
0 Z4 x) C' U. }Alternative hypothesis, 备择假设/ L6 K. { w$ R3 v% n. ?
Among groups, 组间0 u, F& _/ ]- E1 x6 e0 j% j
Amounts, 总量
9 c" `- k L" i4 m3 H9 OAnalysis of correlation, 相关分析) T0 z! U8 L9 O5 E" [& _; C
Analysis of covariance, 协方差分析
; U# o, F6 Z. `8 {" m1 J1 b0 wAnalysis of regression, 回归分析
; |: A" {% d; M. T" ?Analysis of time series, 时间序列分析4 ^( Q/ x6 u9 s2 i& C* B2 N* l
Analysis of variance, 方差分析+ ?- o# I; u3 q% l3 U
Angular transformation, 角转换
8 f! C8 K& q- R/ w7 PANOVA （analysis of variance）, 方差分析
+ y8 F1 y& {- P8 UANOVA Models, 方差分析模型8 Y. S$ g, S- u
Arcing, 弧/弧旋
0 D8 s1 B0 F5 H; ~3 p# xArcsine transformation, 反正弦变换
* l4 e# z C6 V7 B: vArea under the curve, 曲线面积
6 r( E4 G% }# Z* W' x' GAREG , 评估从一个时间点到下一个时间点回归相关时的误差
+ |8 Q) K* s( ~2 Q7 n) i; k# l& EARIMA, 季节和非季节性单变量模型的极大似然估计
+ g7 _6 e* z; r8 \3 S$ HArithmetic grid paper, 算术格纸/ T% K3 W; b) F5 {/ k i* g8 w
Arithmetic mean, 算术平均数+ V% I0 K) u' r% K+ G1 A+ J# g6 g
Arrhenius relation, 艾恩尼斯关系
# J4 g0 q6 j" H8 o' T' FAssessing fit, 拟合的评估$ g, Z( G& ]" ^1 a. a! L* N: b& G/ @* q
Associative laws, 结合律
. R% k' E( A+ f4 \& E+ HAsymmetric distribution, 非对称分布' K3 s' g( L1 r- J
Asymptotic bias, 渐近偏倚% M( ^9 G. y( y5 U
Asymptotic efficiency, 渐近效率; @$ _# B( u: y/ O5 { ^, T0 E
Asymptotic variance, 渐近方差
; Y/ s8 ]3 d. K' z7 X/ @Attributable risk, 归因危险度
4 m0 R% K7 \1 k0 Z; k& wAttribute data, 属性资料3 E3 z! @4 m: e
Attribution, 属性& ~4 {; B. S0 W7 k) r' Y W" D# i5 B
Autocorrelation, 自相关: x) k2 r5 P* @1 K
Autocorrelation of residuals, 残差的自相关
0 q9 t; O1 N9 N: UAverage, 平均数% c; b+ y. y8 l( a, e8 y1 t3 s2 x
Average confidence interval length, 平均置信区间长度
0 ~& r* H% W8 w2 TAverage growth rate, 平均增长率
& u7 Q0 n! A! s$ Q$ P8 W% m; Y; }Bar chart, 条形图& t7 u! w+ a0 A. e
Bar graph, 条形图# |5 ^2 {' H4 ~% y8 r1 n/ t
Base period, 基期
?( Q# Y- h* o4 fBayes' theorem , Bayes定理+ k8 i. b, b/ T) e# q8 v
Bell-shaped curve, 钟形曲线9 z8 Q; t6 ]+ g$ q
Bernoulli distribution, 伯努力分布2 O% E1 L* ~/ U
Best-trim estimator, 最好切尾估计量- a( n. w7 @) n
Bias, 偏性
) v% G; K) d; [' \Binary logistic regression, 二元逻辑斯蒂回归7 i% g: s- E8 H: T8 u
Binomial distribution, 二项分布- m! s a' Y- A9 H* S
Bisquare, 双平方, d+ @9 X4 }1 Q9 S7 Q
Bivariate Correlate, 二变量相关
% a+ U; B! }" v: ~Bivariate normal distribution, 双变量正态分布
" `& i/ R. V. A- G" c6 F& WBivariate normal population, 双变量正态总体
# c( `/ L' N; |2 k# s( xBiweight interval, 双权区间& z2 ^2 w7 f2 ^; |$ y. z
Biweight M-estimator, 双权M估计量5 Q' ?9 c" X# `; B7 C* b z* P& m
Block, 区组/配伍组9 b5 N3 X; c! W7 s5 v: _6 d0 Y, M
BMDP(Biomedical computer programs), BMDP统计软件包% O6 ^5 I& Y+ U# S
Boxplots, 箱线图/箱尾图
% r" H( y; s J5 A7 a- L3 H! ?Breakdown bound, 崩溃界/崩溃点* ?5 Y* S* l/ c& M) F5 [7 b, B) T, {. X5 o
Canonical correlation, 典型相关* J( i [: @) N6 q1 a+ X
Caption, 纵标目
' \1 _1 n0 a/ |Case-control study, 病例对照研究
4 p+ y6 k3 R* P" Z( oCategorical variable, 分类变量! D6 C, Z: M, ]7 U- H3 \4 ]- e
Catenary, 悬链线
: z# |% n) v3 ^5 t7 b% jCauchy distribution, 柯西分布
8 M3 n* S. b: W% Y1 q* b$ @Cause-and-effect relationship, 因果关系
* C# V) u! P" tCell, 单元
/ g; N; e, l3 PCensoring, 终检0 Z/ ~& G# b* a( @( [- W9 Y! N) ^
Center of symmetry, 对称中心
7 H5 i* M4 f% b1 a6 T& dCentering and scaling, 中心化和定标9 S( m% x1 S2 `9 z& S. w0 U1 C
Central tendency, 集中趋势, R4 I6 A/ m$ |+ U+ c' U
Central value, 中心值0 g0 U# s" \* G2 w1 w: i$ H
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
7 ]! n& S6 I" E; NChance, 机遇/ `9 p& l B! U k9 B
Chance error, 随机误差' j- r8 x& c: e" g7 o& n
Chance variable, 随机变量% d* U4 L& R4 y+ f
Characteristic equation, 特征方程
! g0 E% |- N9 w1 E) r* B4 PCharacteristic root, 特征根9 Y4 }% T. d) u
Characteristic vector, 特征向量2 I0 k9 N2 X+ U3 B
Chebshev criterion of fit, 拟合的切比雪夫准则5 w2 Y4 ?* ^, s1 S' r6 {
Chernoff faces, 切尔诺夫脸谱图
& n- O( M0 U/ p( _Chi-square test, 卡方检验/χ2检验 Q) S2 o/ Z6 w, L" S
Choleskey decomposition, 乔洛斯基分解
( Z) ]# J+ u* k. K7 r: uCircle chart, 圆图
0 F: z r: o) H8 w! R1 \9 ZClass interval, 组距
+ k3 Z+ i+ Z& u# u, p u' CClass mid-value, 组中值; }: ]1 ?6 v% Z0 S2 w
Class upper limit, 组上限
: P4 |) j0 ]. B. V8 KClassified variable, 分类变量
' o" M- K& O. P- i: O$ B3 V- ?Cluster analysis, 聚类分析6 E+ p) p& v) N/ A7 X
Cluster sampling, 整群抽样
5 Y, Y' k% n' iCode, 代码! ?, t2 s H& L+ |& P2 q" S! i: b
Coded data, 编码数据
, A" z& P7 o4 J/ @- V5 YCoding, 编码3 w/ F w/ m/ T- ^
Coefficient of contingency, 列联系数# o8 v$ d( i! G5 U; T
Coefficient of determination, 决定系数9 E9 d) y: ~5 T9 c1 D* t
Coefficient of multiple correlation, 多重相关系数% B; D4 I/ J [8 U
Coefficient of partial correlation, 偏相关系数2 B$ K) n/ Z Y u
Coefficient of production-moment correlation, 积差相关系数' M. l; S$ a( @; B6 H2 T
Coefficient of rank correlation, 等级相关系数
* L, F" M& W+ ^" WCoefficient of regression, 回归系数
8 k' h* {( P$ LCoefficient of skewness, 偏度系数% p, K2 Z; p0 ]( P5 w1 k
Coefficient of variation, 变异系数
6 H7 g) q6 H+ ~; `$ t2 s1 _Cohort study, 队列研究
0 l' R1 x& R, p" K0 MColumn, 列! \ |3 Q2 G2 l4 ~
Column effect, 列效应 G6 n# ?# v$ N, `9 S
Column factor, 列因素% r- I( y; N- W2 H. Y: R3 }
Combination pool, 合并
1 T6 U( u0 F$ J; K- rCombinative table, 组合表, i5 T7 s$ |6 g! d
Common factor, 共性因子. b0 u6 }, C# D- k- ?
Common regression coefficient, 公共回归系数2 D# A& T# Y M; x4 t9 e
Common value, 共同值0 k7 s$ _" ^& [. c. p# n) b
Common variance, 公共方差' v s/ w- P5 t+ s" K8 y: T( G
Common variation, 公共变异5 W" X9 ]* u( L5 Z2 @
Communality variance, 共性方差
: }( j& `$ S! VComparability, 可比性
( s- t e5 g* W- ?% A% U/ W/ B2 OComparison of bathes, 批比较) z( t% k- `2 I# m; X3 \$ ^; s9 s
Comparison value, 比较值 }# a6 S5 \- ^: q
Compartment model, 分部模型- G( u+ Y4 G& f" C# n. @
Compassion, 伸缩
: O, d" ]! z# @& s6 gComplement of an event, 补事件/ S* h" U5 l2 d9 i1 q0 G6 J0 P
Complete association, 完全正相关
/ J, G F/ [ H9 \Complete dissociation, 完全不相关5 i$ Z: M8 k$ y4 }! b
Complete statistics, 完备统计量
4 W1 M3 X" d* ]; F0 R$ u8 jCompletely randomized design, 完全随机化设计2 W+ Z+ U9 ?3 a
Composite event, 联合事件
: _ B, P* I: C; i% J- AComposite events, 复合事件
8 f) h' q1 A) BConcavity, 凹性2 T; H/ @% G5 y1 d. K! x
Conditional expectation, 条件期望! q, O, Y( W- C! u9 N
Conditional likelihood, 条件似然1 Q4 V1 B2 I1 B+ m2 o
Conditional probability, 条件概率
8 Y( G( s1 K) ~/ _, M9 C' _! n* R. TConditionally linear, 依条件线性: L5 C V3 d z. H5 X" Q
Confidence interval, 置信区间; C, F9 R8 k$ p; A# g' b
Confidence limit, 置信限
* ]3 d- x1 i. w& }9 WConfidence lower limit, 置信下限2 I* v8 _! L4 f
Confidence upper limit, 置信上限 g* A4 p% T c3 C. N! e
Confirmatory Factor Analysis , 验证性因子分析
% T/ H% p0 b+ F9 i3 m' F4 aConfirmatory research, 证实性实验研究
9 w: P" H9 T* eConfounding factor, 混杂因素
. v' O W) q9 S0 i$ lConjoint, 联合分析
2 l$ ?) o6 Y6 P* HConsistency, 相合性9 Z* R0 R" y& R! G! N; G
Consistency check, 一致性检验/ _2 M$ ?# R2 `- e' `, ^$ }8 f3 s
Consistent asymptotically normal estimate, 相合渐近正态估计
( L' F$ n1 v4 l; R$ ]8 L4 YConsistent estimate, 相合估计1 P! ?4 Y: f6 \2 l( ?
Constrained nonlinear regression, 受约束非线性回归( b2 G! G( X: C! z9 }. j9 {) j6 I. I- c
Constraint, 约束
6 |! [) }; ~$ K6 @Contaminated distribution, 污染分布
@- V% S! |9 IContaminated Gausssian, 污染高斯分布
5 N1 r* I6 M/ H, x( zContaminated normal distribution, 污染正态分布& @+ `, j0 L8 P5 E1 i3 ^
Contamination, 污染
0 n% `2 p% ]4 `7 VContamination model, 污染模型
/ e; J5 b7 P! X: P7 N4 e- GContingency table, 列联表) \ n5 x: N% M9 c
Contour, 边界线, o- I" m3 i! _) ]/ h- c
Contribution rate, 贡献率
3 d1 q3 T+ g( y4 j2 Y& ]& P& jControl, 对照
1 z$ Y4 U% A7 s& ?8 P+ [Controlled experiments, 对照实验
( A( S8 Z# m. ~/ u, ]6 Y* ]4 JConventional depth, 常规深度; u" V! [7 u# x
Convolution, 卷积
) _$ y" a' t9 F; G. z* p+ U% @Corrected factor, 校正因子
2 U3 X, {% k/ yCorrected mean, 校正均值3 L- I! d; K6 ~8 {/ c% C
Correction coefficient, 校正系数
/ S+ D& r9 m8 z- L# x8 kCorrectness, 正确性% ?1 Y4 @* e) X! d+ H" e
Correlation coefficient, 相关系数9 B* }' m/ q3 ?' F% ?
Correlation index, 相关指数
/ q4 c c0 S; @Correspondence, 对应& @+ G- X& v; _; c6 h6 U
Counting, 计数) `/ A% I1 J; o% a6 L0 W. T
Counts, 计数/频数
9 O/ h6 D6 B2 U9 ^: r2 wCovariance, 协方差 N, K6 u6 l) ^% b
Covariant, 共变 ; C1 a, t* I# | c2 f
Cox Regression, Cox回归1 j! c. J6 {: D7 l0 r/ [ a/ z
Criteria for fitting, 拟合准则
# y6 Z5 {" _# i7 J7 |5 @, q' PCriteria of least squares, 最小二乘准则) ~) I) S" V% L
Critical ratio, 临界比$ h. j) o! a- e+ Z; @
Critical region, 拒绝域$ i" j% `( R. j* v$ E* K" {" V
Critical value, 临界值/ j& g& x) E' H% _2 k1 `2 g
Cross-over design, 交叉设计( \" B, K; V3 A
Cross-section analysis, 横断面分析+ C1 a! w1 b, b: ]6 ?
Cross-section survey, 横断面调查
% S& |8 I" _1 G. K5 X) {Crosstabs , 交叉表
' E1 H7 i% n. L0 C6 X4 xCross-tabulation table, 复合表
) E" `. t( F" o3 g- K& j: g, uCube root, 立方根
% q7 i7 e- Y' e' ^# o5 t v6 l. ]Cumulative distribution function, 分布函数3 D/ E; [& X& s8 F2 L W# _
Cumulative probability, 累计概率' ?$ J1 ~; `0 M; i" f; ]3 g
Curvature, 曲率/弯曲
: Q# Z; `/ k$ f0 q+ N q8 F( JCurvature, 曲率, V0 z# i$ E% d
Curve fit , 曲线拟和
& k! h W4 |6 p% gCurve fitting, 曲线拟合5 D+ @9 i; L! u/ g
Curvilinear regression, 曲线回归( m! v/ \& d6 Z$ m9 [: d
Curvilinear relation, 曲线关系
, `4 H. g& Q: g1 S: \+ r1 |Cut-and-try method, 尝试法
0 D7 @0 N# _) ~1 zCycle, 周期8 ?) o% N) F% e/ N w
Cyclist, 周期性
- K& Y. T$ Q2 O: U% j% K# ~D test, D检验
7 D ]. N+ o1 W! _Data acquisition, 资料收集( d4 K9 j e) g
Data bank, 数据库
8 u. ?5 n, ?0 O$ d. n0 r& hData capacity, 数据容量
; @' k& u- m1 ?2 L# ?& k# AData deficiencies, 数据缺乏/ L0 p' O; D' k0 t
Data handling, 数据处理" r7 @) P2 E8 F+ M, m! k
Data manipulation, 数据处理
% |0 f1 b) U8 v- ]/ EData processing, 数据处理
8 d5 g+ P/ G4 N* m- K9 u1 B. ]% PData reduction, 数据缩减
3 V# U/ E% l, H5 A& |* XData set, 数据集 o" U$ Z+ @$ z! l7 i9 x8 F; H
Data sources, 数据来源0 @3 ]* u- y" \% ^
Data transformation, 数据变换! b9 ~$ Q& r; l; a3 g1 K- I% E& |
Data validity, 数据有效性
, h, N( z' s7 T( r1 NData-in, 数据输入
4 M% E3 e0 O, ]" _Data-out, 数据输出, U. ]. N2 e0 C' m- o$ p, I* D
Dead time, 停滞期
N7 W. l8 @7 N+ K* X4 O1 {Degree of freedom, 自由度* D6 M" ?. {! r2 \( E* U7 I+ R
Degree of precision, 精密度8 F) j8 f# b: ]- ]% H
Degree of reliability, 可靠性程度
j( T0 W) |8 E: G( TDegression, 递减
- c- q& f; S& }6 A' KDensity function, 密度函数
; o- p4 J- g f3 j! N ADensity of data points, 数据点的密度6 \8 M4 O, W2 p+ O% C, q1 w
Dependent variable, 应变量/依变量/因变量' w- X% I4 e7 @! `4 P
Dependent variable, 因变量
' t- O1 \! n0 O4 X8 A( s' C; y( }Depth, 深度) T5 D( @# z5 T
Derivative matrix, 导数矩阵
u4 K) w! T& R; i bDerivative-free methods, 无导数方法
: ~4 x" U4 I1 W, s' ?2 I; k8 jDesign, 设计
0 K, e x- L3 oDeterminacy, 确定性3 Z+ i8 b5 I& A2 j
Determinant, 行列式 [, [ U/ f# ~ r
Determinant, 决定因素
# [+ v |/ w( dDeviation, 离差) v& ?0 M5 h% Y9 v4 C/ u' |7 U; o @% t
Deviation from average, 离均差% a7 g* F( F4 `6 a7 h" c3 X
Diagnostic plot, 诊断图8 [, h. J: d0 H8 y( S2 a5 q+ n
Dichotomous variable, 二分变量# ]: U U. O2 D- E8 z& i
Differential equation, 微分方程# k% y* G$ ^; m% L
Direct standardization, 直接标准化法
0 M' V0 }+ U) PDiscrete variable, 离散型变量; p% g/ K$ j% \, x* j" s* }
DISCRIMINANT, 判断 ! E- e+ q! P/ Z4 P( T) B/ N4 C& G4 K
Discriminant analysis, 判别分析* A5 |4 R2 c+ E( A1 Q% }
Discriminant coefficient, 判别系数
$ J" t2 t* ?4 B1 k3 Y. q$ d9 ?& CDiscriminant function, 判别值* @# \: Z9 u+ \7 ^
Dispersion, 散布/分散度
7 C& p: y8 C$ TDisproportional, 不成比例的8 \! w$ |3 h& K: g/ T, a7 O# E9 l! e
Disproportionate sub-class numbers, 不成比例次级组含量) P. m1 j6 y6 A4 x
Distribution free, 分布无关性/免分布5 m; Y7 L% H1 ?/ n
Distribution shape, 分布形状0 M9 V& r: q: S ]& G# h- E
Distribution-free method, 任意分布法
+ x% i* r7 Q# O; R3 `Distributive laws, 分配律
0 h1 {9 O" G) mDisturbance, 随机扰动项
; S' U1 \: {$ H$ EDose response curve, 剂量反应曲线
' C3 F, y- ^( ?( iDouble blind method, 双盲法+ O1 ^, ~+ M0 ~, ]
Double blind trial, 双盲试验; D9 x( f b' r$ E/ t
Double exponential distribution, 双指数分布
6 @# T* M$ A* z; |0 n9 Q. K. jDouble logarithmic, 双对数# K$ |. o$ U6 [' A# J9 Q$ O1 }& Y3 U8 b1 V
Downward rank, 降秩: b, m2 |( S6 U% O
Dual-space plot, 对偶空间图
! h4 A' C d+ y4 p; RDUD, 无导数方法
% L: P# J) p1 V- X+ x. gDuncan's new multiple range method, 新复极差法/Duncan新法
@8 O3 |( O9 A1 `! PEffect, 实验效应
" i$ ]: B7 J0 I5 s( wEigenvalue, 特征值6 _ t% r& x+ p/ `/ z& F
Eigenvector, 特征向量1 v* e# v9 Z* U. Y9 G
Ellipse, 椭圆
! X# y/ \4 `9 B: S+ FEmpirical distribution, 经验分布
4 G# w d7 x4 N' ]- Q/ ?+ \& h. V! JEmpirical probability, 经验概率单位5 @, n3 \& Z% P. a, I
Enumeration data, 计数资料
, ]1 X$ H' s$ v+ s6 lEqual sun-class number, 相等次级组含量
- o: s4 l+ L6 o& G" @& U0 h0 ]. i, sEqually likely, 等可能6 Y J2 K9 J! J' O+ W C
Equivariance, 同变性
$ z$ X! w1 N, b& S0 A2 SError, 误差/错误/ L0 r" ^* F0 N; ?
Error of estimate, 估计误差
/ g8 s7 s! H9 @3 [) o- C4 D! M, a. RError type I, 第一类错误
# V. s o4 _& \# wError type II, 第二类错误
+ }3 Q, ]) y# ?1 ~) m$ GEstimand, 被估量
2 @/ j, X; M' _) T( QEstimated error mean squares, 估计误差均方) _1 q( z- K& A6 {0 i2 `0 I
Estimated error sum of squares, 估计误差平方和7 W6 U; x3 A5 Q$ H
Euclidean distance, 欧式距离$ g6 s8 B* F% [$ @$ ~
Event, 事件( { ^1 _' C* v+ e, t+ o+ K$ _& L
Event, 事件
8 w& X, h* y; g/ E" yExceptional data point, 异常数据点
4 W! L1 v$ g( f* t# w6 N. j7 VExpectation plane, 期望平面' T3 P3 G/ z/ k7 |
Expectation surface, 期望曲面5 H, H( g# [2 J3 m! n
Expected values, 期望值6 N4 d7 T$ e5 t0 q9 Q+ o5 p' w
Experiment, 实验" z5 u' w5 W, T/ L
Experimental sampling, 试验抽样4 R0 E$ m. @6 `" t. Q) V
Experimental unit, 试验单位
* X5 B1 h& P1 N5 w3 P$ {Explanatory variable, 说明变量% i2 A+ p0 C+ {! R6 y7 E
Exploratory data analysis, 探索性数据分析
9 E4 y4 U/ k' B+ \4 qExplore Summarize, 探索-摘要
) F; h$ e' I% f: c% ?# }Exponential curve, 指数曲线
, X/ m$ B9 G Q. O: lExponential growth, 指数式增长
8 V. q& z" W% j# fEXSMOOTH, 指数平滑方法 % j' T5 b4 E0 k; G5 J
Extended fit, 扩充拟合6 |0 a( `- C) w" ]3 w
Extra parameter, 附加参数
% H: D* F& q7 ~5 k4 hExtrapolation, 外推法& j( \! G, r* j6 }
Extreme observation, 末端观测值& C4 \' l# k# w! n9 f0 c0 Y
Extremes, 极端值/极值* ~ J, S( z2 G r* i" o4 ]
F distribution, F分布
6 b2 D/ ^) y/ l) v DF test, F检验
+ {+ D) m: _) D/ ^Factor, 因素/因子5 _* ^" k( a6 U4 c1 ]3 k
Factor analysis, 因子分析
3 N. u- n2 w; R5 D1 Q: J) Q( WFactor Analysis, 因子分析
# U+ n; A p% g$ ]Factor score, 因子得分 ; P l, K% J7 F& G
Factorial, 阶乘* v1 Z0 t. C } U1 a
Factorial design, 析因试验设计
. ~2 f% s- p4 o: x+ I# Q2 c: jFalse negative, 假阴性
9 B) J/ A5 r1 ^9 ]! _" E+ hFalse negative error, 假阴性错误
i( h& {% c* k# _/ y& Z6 S4 zFamily of distributions, 分布族- ] E' k2 C1 b( Z/ g0 V$ y
Family of estimators, 估计量族8 d. {; W P$ U7 [
Fanning, 扇面& e# b& j) K5 r* i7 W
Fatality rate, 病死率4 u1 m/ o& K t
Field investigation, 现场调查0 S/ M* q, Y2 O4 u: @
Field survey, 现场调查& Y. l F9 J2 u
Finite population, 有限总体5 G' Y1 q" j0 G
Finite-sample, 有限样本
2 u Q0 }) K( Y* M* }First derivative, 一阶导数
# n7 n) G {: o6 \1 K: ?First principal component, 第一主成分/ N4 F. L" H; `/ I
First quartile, 第一四分位数
+ D' U8 d3 { K. \3 D9 {1 g5 O& QFisher information, 费雪信息量5 x! t3 I# c5 |
Fitted value, 拟合值
" L" j8 u- k6 v ?Fitting a curve, 曲线拟合, l7 R5 S3 z5 ?4 ^# f
Fixed base, 定基
6 A, C: }) R( e" pFluctuation, 随机起伏4 ?" P2 X+ P1 a5 m5 I
Forecast, 预测: |4 N7 c) G2 k- e
Four fold table, 四格表
' n6 z# X7 V7 Q) N9 ZFourth, 四分点: U) F, J; f; S8 |% |' ^
Fraction blow, 左侧比率0 F. o' k- s5 ~$ f H8 g
Fractional error, 相对误差0 l! P, {+ I# p% V* R( r6 { H
Frequency, 频率
! H+ Z& r8 N" Y! ~, _* U8 YFrequency polygon, 频数多边图$ `$ n* d( l$ Y! O, p" P/ S3 J
Frontier point, 界限点
! C4 ?$ D( x0 Y1 G4 N# q* IFunction relationship, 泛函关系2 v4 _* o1 ]$ ^* y
Gamma distribution, 伽玛分布
: {0 g. D% r( w* e; QGauss increment, 高斯增量
1 B& z' t/ K Q; |/ E3 T/ uGaussian distribution, 高斯分布/正态分布
1 t8 Y6 j* j& oGauss-Newton increment, 高斯-牛顿增量: K/ B* f" P5 J3 l! k1 p
General census, 全面普查
% l3 p1 q4 c; ^! }9 ^) k9 E: zGENLOG (Generalized liner models), 广义线性模型 & o4 O8 ~) G$ \
Geometric mean, 几何平均数9 w4 n) P8 j3 {( }4 K+ Y7 g
Gini's mean difference, 基尼均差" J: n. Q6 H/ E- T! Z1 O. Z. C
GLM (General liner models), 一般线性模型 9 a3 C2 u& {9 M7 O& L1 m- q! j2 e7 ?
Goodness of fit, 拟和优度/配合度% ~2 v- P2 X. v& ^7 t& x+ e: q
Gradient of determinant, 行列式的梯度
$ @* K6 J1 [ g. J9 TGraeco-Latin square, 希腊拉丁方6 n6 V- f; G) W K
Grand mean, 总均值
: N5 l' I1 d5 ]6 M% m' M" Z' i5 k$ _Gross errors, 重大错误! s; h7 I( g! T& J4 n/ ^6 l8 r6 y/ u1 L
Gross-error sensitivity, 大错敏感度
& \: b+ f7 [1 OGroup averages, 分组平均! z+ Y7 F, ~5 b* ?' _
Grouped data, 分组资料 v' Z: ?+ t+ w3 M( |% a W
Guessed mean, 假定平均数
; ]0 u7 i6 U( D, |# S% gHalf-life, 半衰期
. k W% H8 Y7 Z* k( n3 zHampel M-estimators, 汉佩尔M估计量
2 q1 g; j$ q7 i/ [1 b9 t. H) wHappenstance, 偶然事件
) v" k# l% T1 `# XHarmonic mean, 调和均数0 @3 G# |$ h4 C- s0 n" \
Hazard function, 风险均数# L. v! k: _" r1 l; c9 S
Hazard rate, 风险率6 G/ Z4 G8 l ~9 V% R
Heading, 标目 - X7 M3 Z+ q, r$ r/ f
Heavy-tailed distribution, 重尾分布
! n+ ?3 `; ?8 r3 f! P, s: z+ RHessian array, 海森立体阵; R& B9 V' }% M
Heterogeneity, 不同质: V) D: R8 T1 Y/ d. ~& h% m
Heterogeneity of variance, 方差不齐 & A& Z& t1 x2 S; W( F
Hierarchical classification, 组内分组
7 D- ~; F3 L6 \% K) EHierarchical clustering method, 系统聚类法
% i- S5 S: W( wHigh-leverage point, 高杠杆率点; r& n1 b/ d4 Q& _5 P; P
HILOGLINEAR, 多维列联表的层次对数线性模型
) j; K% R J( x9 BHinge, 折叶点5 b4 h4 D. _4 \0 k
Histogram, 直方图" k, \% U1 \0 n1 D- h8 _& A- O, \
Historical cohort study, 历史性队列研究
# f9 ~9 t) O8 U: KHoles, 空洞9 B. n2 @: E0 \
HOMALS, 多重响应分析
4 w3 N2 ?, q+ k6 u a3 M3 kHomogeneity of variance, 方差齐性2 E: K3 T3 H6 K7 [
Homogeneity test, 齐性检验
8 z- h) D6 G$ vHuber M-estimators, 休伯M估计量
1 A" i5 v+ P% jHyperbola, 双曲线
0 C: A& ~0 K) N+ ]Hypothesis testing, 假设检验
" B( K% K7 Y* }; U% a/ @Hypothetical universe, 假设总体5 D; u7 @- P% `( o9 ]5 G
Impossible event, 不可能事件
" a* D( Q; [1 A; lIndependence, 独立性
7 ~* j9 e1 [$ @; G* O2 GIndependent variable, 自变量. h% K1 |! h+ c3 Z! ?
Index, 指标/指数
3 d) [1 M6 f; x! [Indirect standardization, 间接标准化法
) ]9 m& S8 s& C/ {5 P3 w9 O2 ~3 y( ]3 UIndividual, 个体
- p% a! _) F: Z: {7 j" aInference band, 推断带
# r8 E' X4 C+ c1 k, \Infinite population, 无限总体0 o. G: ]7 J* o* C- j
Infinitely great, 无穷大
! d$ }% q: O1 C' @$ K* ^Infinitely small, 无穷小) F& h5 } m8 _- O
Influence curve, 影响曲线
- G8 N. H$ T W7 R: n' ?Information capacity, 信息容量
& i' d4 m$ K/ L7 m7 w& L9 `1 }Initial condition, 初始条件
/ r) N# K, a0 F, TInitial estimate, 初始估计值* C# z& Y- q1 g% G5 g
Initial level, 最初水平
, E( C9 ?6 W& Y8 G& v/ p& x* X) }Interaction, 交互作用7 L8 a# |: g, \6 w
Interaction terms, 交互作用项
5 Y4 L9 p' U) [) W( eIntercept, 截距
: j- ?8 k, w/ t% cInterpolation, 内插法
) T* g2 c" q6 x9 g TInterquartile range, 四分位距
3 r7 D7 ?, I. j0 f8 \! t5 JInterval estimation, 区间估计4 [. z" K2 \3 T, a6 I
Intervals of equal probability, 等概率区间8 s- X/ t& A0 I5 b: i% O& D$ c
Intrinsic curvature, 固有曲率1 Z9 Y: Q2 @& z$ T X9 K* d0 b
Invariance, 不变性
1 d6 W/ q3 c( j; A6 nInverse matrix, 逆矩阵8 x: m7 T K) q8 L" O0 K6 Z
Inverse probability, 逆概率5 [. m( r0 {6 j1 w# q
Inverse sine transformation, 反正弦变换
$ l2 \' r0 @, s) C) M3 c* SIteration, 迭代
1 u4 @$ T3 U6 r) RJacobian determinant, 雅可比行列式: @. e8 e ^: X5 |' e" o/ u* ]
Joint distribution function, 分布函数
# @$ O' }+ c; a8 j1 \Joint probability, 联合概率0 u3 l, I5 P9 h! H6 L# a
Joint probability distribution, 联合概率分布; p$ x" W5 U3 g. U$ S7 R2 h& e
K means method, 逐步聚类法8 Z& v9 K$ s# ]' \; h; w+ h) V. S3 g
Kaplan-Meier, 评估事件的时间长度 0 d/ T6 v- H% Q" \3 M
Kaplan-Merier chart, Kaplan-Merier图6 _; L/ T2 G5 ]0 \- S
Kendall's rank correlation, Kendall等级相关; |, E% P* n' j+ G
Kinetic, 动力学3 h: g% L6 C; u Y+ l
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验9 ], F$ d( ~: M7 ]
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
9 q0 L. c2 D, Y, B9 l" YKurtosis, 峰度0 m0 U/ \& z6 c8 T* a; S$ x
Lack of fit, 失拟
/ c6 z4 O9 o" A$ J* p! B& V( g2 BLadder of powers, 幂阶梯
3 D# D' @+ G- l' z1 LLag, 滞后
; ~4 |3 i( K/ NLarge sample, 大样本
) |# h1 X( \9 Q2 r- a. o. Z0 nLarge sample test, 大样本检验. G1 e& H8 o" w2 C+ B
Latin square, 拉丁方
) \ a; r& B# k+ LLatin square design, 拉丁方设计6 U, X' _- O7 |8 V7 r
Leakage, 泄漏7 T3 \3 u0 |8 Y v
Least favorable configuration, 最不利构形
' s, B3 k9 q5 E6 [Least favorable distribution, 最不利分布
2 i+ L5 J1 @# W+ U4 JLeast significant difference, 最小显著差法
9 z6 |* k- G9 q% G3 ^Least square method, 最小二乘法" W: p m+ N( i e w
Least-absolute-residuals estimates, 最小绝对残差估计
5 T' L- f" v# S% T# T! NLeast-absolute-residuals fit, 最小绝对残差拟合/ Z/ O' E+ Y/ h; Z$ @
Least-absolute-residuals line, 最小绝对残差线/ S; f& k% z0 F7 B0 A
Legend, 图例( S. m* L5 \$ A2 {
L-estimator, L估计量* K" r4 s8 w2 X. g/ K# L+ Z
L-estimator of location, 位置L估计量
7 t7 Z7 T. X/ a6 m" |L-estimator of scale, 尺度L估计量8 L( W- T! D* d& o% _
Level, 水平
5 \% w/ q% m: Q3 e+ z; VLife expectance, 预期期望寿命
7 i5 n8 h( e5 X: O( [Life table, 寿命表$ l) |3 _ K+ {1 [
Life table method, 生命表法
, W" v ]; ^0 Q$ M5 }- a( `Light-tailed distribution, 轻尾分布, C1 m& {" T! Y1 O! x
Likelihood function, 似然函数5 J# n' O5 C5 G! {! e, g0 c* K
Likelihood ratio, 似然比2 K5 h+ G; O0 f; Z) w. ^
line graph, 线图5 I$ R9 y1 u- w. P
Linear correlation, 直线相关
. M$ j. d( x- M) }: {Linear equation, 线性方程
+ W) y8 Q6 m+ ?8 t$ _Linear programming, 线性规划
6 r& E! @, {; N% J3 p1 H5 z, XLinear regression, 直线回归. }( ^' T% h E: Y
Linear Regression, 线性回归6 Y+ j. J. E0 ~6 ?* C
Linear trend, 线性趋势
" L/ F% D( c/ b6 [8 jLoading, 载荷 0 J. s& J7 B I7 H9 G8 J' V
Location and scale equivariance, 位置尺度同变性
4 B% D! {. t3 f3 lLocation equivariance, 位置同变性) q Q9 E% @5 Z9 y9 z$ v
Location invariance, 位置不变性
' y( l$ W; M6 C2 T) r* YLocation scale family, 位置尺度族* y+ Z% g0 U, P- p' H" K' J
Log rank test, 时序检验
4 r6 Y5 K2 L& @Logarithmic curve, 对数曲线2 X( j/ Y: O5 b" E
Logarithmic normal distribution, 对数正态分布
8 l& a3 N' W4 v& o9 H( B xLogarithmic scale, 对数尺度
8 \! r; Q' x3 p$ V0 A% [Logarithmic transformation, 对数变换
+ H9 _4 V% k4 F- fLogic check, 逻辑检查& f9 k3 E" }% j9 z, ]+ V5 _7 A* P+ n
Logistic distribution, 逻辑斯特分布
6 k9 L4 q/ P; t$ G8 e5 kLogit transformation, Logit转换
5 S! V- P- @* H/ `) e6 R- VLOGLINEAR, 多维列联表通用模型 # d, U1 S s, W$ `9 ]
Lognormal distribution, 对数正态分布
8 q1 D! G" ]5 ?Lost function, 损失函数
3 L* I- w+ {7 g% `Low correlation, 低度相关# s M2 i- @: W. f+ c- [" V
Lower limit, 下限. I1 X n& Y0 ? D) L; v
Lowest-attained variance, 最小可达方差
4 B; Z! M- }; d3 ^$ c2 jLSD, 最小显著差法的简称
/ y$ f( Q! }5 Y! G% JLurking variable, 潜在变量
n! R8 l6 x) Y. u, vMain effect, 主效应
- N( {2 G( w0 ~Major heading, 主辞标目
6 f% @6 v1 ^6 s( CMarginal density function, 边缘密度函数
( P0 u6 K3 }: {2 T7 \Marginal probability, 边缘概率
3 \$ _/ K- I! M6 s! @8 UMarginal probability distribution, 边缘概率分布8 z4 L8 G5 S+ s, I
Matched data, 配对资料
: { u: ~1 `& s- S; e. lMatched distribution, 匹配过分布
/ y w, p% ~7 [* ^Matching of distribution, 分布的匹配3 w( D& k: I7 Z' c0 N n
Matching of transformation, 变换的匹配
( y0 B3 j8 J: @' f3 _ IMathematical expectation, 数学期望! q, v/ }- v& Y- H! h* v2 e
Mathematical model, 数学模型
2 P4 v2 A' C6 ]: d0 H" BMaximum L-estimator, 极大极小L 估计量9 f2 A3 A9 t7 \/ v/ T; y% J
Maximum likelihood method, 最大似然法
; V' d8 [" n* z5 PMean, 均数
9 L* y5 Z; O; c) ^8 u) }Mean squares between groups, 组间均方
" ?) z, k: p, C. yMean squares within group, 组内均方5 ?' U' f0 g, t, A. C5 g: ]
Means (Compare means), 均值-均值比较, t& J- L7 d- J( t
Median, 中位数
0 o8 n+ t+ n! S5 l: M2 LMedian effective dose, 半数效量
- U) ?& x/ v: k) Y+ y2 xMedian lethal dose, 半数致死量. G+ x) b6 _ D! }/ P7 Z# O
Median polish, 中位数平滑8 q) X p5 n# h# g: g
Median test, 中位数检验
' k# G2 z6 r* n. j( P+ Z, lMinimal sufficient statistic, 最小充分统计量. L& j8 W8 k* a9 J t6 P! T- F; I
Minimum distance estimation, 最小距离估计. k4 U$ z3 N; c0 W# ?
Minimum effective dose, 最小有效量
- c/ K5 O4 O% Q- Q' _& K8 bMinimum lethal dose, 最小致死量
2 f! r x v; b/ ^, D, lMinimum variance estimator, 最小方差估计量- a7 I9 C; i: a$ @+ q
MINITAB, 统计软件包
% k$ H. L8 o' J& `& C6 l% JMinor heading, 宾词标目
* _2 A; J3 u5 H& }Missing data, 缺失值& ?0 U8 H$ X$ b7 v5 ]8 `% [
Model specification, 模型的确定; T4 {# j; d& x7 a2 Q) g
Modeling Statistics , 模型统计
, |. }# U, u: j LModels for outliers, 离群值模型/ m% r+ j7 W2 M, y7 x
Modifying the model, 模型的修正; u+ l0 {/ g. T( ?
Modulus of continuity, 连续性模
$ v& r3 T% | W% Y: u7 [$ P2 IMorbidity, 发病率
& X$ O$ t: s9 Y# d$ b3 g4 t hMost favorable configuration, 最有利构形
2 ?( b( [( f4 k" M3 b0 YMultidimensional Scaling (ASCAL), 多维尺度/多维标度/ D( ~& D# g6 m5 t; `( l
Multinomial Logistic Regression , 多项逻辑斯蒂回归0 O% D& ~/ D% m
Multiple comparison, 多重比较( p2 A3 v! q9 y# P6 c
Multiple correlation , 复相关
' w1 ?3 |( I) fMultiple covariance, 多元协方差
T0 i6 \: a/ X' o. t) l: eMultiple linear regression, 多元线性回归
! I, |" p, T, }( E0 B. q5 oMultiple response , 多重选项
8 b0 b m$ N, H) x( s" Q8 IMultiple solutions, 多解
7 C8 H4 z" u) e& |0 ]Multiplication theorem, 乘法定理
. a! |+ ` z5 Y) Z5 u3 Q) lMultiresponse, 多元响应4 s- j# k/ L' P. Z9 s% l" U9 S- }! ^
Multi-stage sampling, 多阶段抽样7 q! J5 @; h0 k" p P
Multivariate T distribution, 多元T分布
/ B# V/ |0 o: dMutual exclusive, 互不相容; |1 v% f1 D4 [
Mutual independence, 互相独立
1 N2 e' _, v- z. V% T" D( z# q5 ONatural boundary, 自然边界
2 p% }/ v- I5 e7 C5 ~7 ]Natural dead, 自然死亡) i& R) D/ a+ V# D% X# m* i4 ~1 C
Natural zero, 自然零7 W7 G% v$ s r* p1 ?
Negative correlation, 负相关
- z# ? b* q' e* f9 R# U% X4 aNegative linear correlation, 负线性相关
% Q% m* w* B+ o# j2 J7 R2 {7 S: \Negatively skewed, 负偏
: {3 d9 x4 o2 V2 Q1 \) {0 gNewman-Keuls method, q检验2 q* ^. {* e7 T0 W
NK method, q检验) o' `/ Q% g) A% m3 Z; n
No statistical significance, 无统计意义5 `* G. f/ h% x, ~) r" l
Nominal variable, 名义变量0 g* j' j5 [( B4 \
Nonconstancy of variability, 变异的非定常性
$ q5 W% C" m0 t$ u4 J) b3 MNonlinear regression, 非线性相关
+ j l$ w" w& u+ p# J7 s: x1 `Nonparametric statistics, 非参数统计* ]9 m- T% i; Y& o* _: G8 U- i, L" q
Nonparametric test, 非参数检验9 c6 u3 m0 C* S8 C# w- n
Nonparametric tests, 非参数检验2 _# e, ]5 {2 ^* O# i4 I! F6 T0 d
Normal deviate, 正态离差
* b) ~* h, ? r) z% j* O _5 LNormal distribution, 正态分布5 X- t7 C+ Z1 I! I- S3 L
Normal equation, 正规方程组' y/ t6 R* Z/ V2 {+ f# k7 ?7 J2 P
Normal ranges, 正常范围
9 W' ]# {$ S, E2 x7 Z9 @Normal value, 正常值
4 w' B o' \4 r* S4 [% @2 BNuisance parameter, 多余参数/讨厌参数
i7 [" J d5 mNull hypothesis, 无效假设
8 E. G1 a4 C2 d( oNumerical variable, 数值变量1 w# Z- c/ ]( Q
Objective function, 目标函数
5 D I' f3 X6 Z, h" x h1 [* ~Observation unit, 观察单位
% }1 |% N1 k _) c+ |* c a3 ~! zObserved value, 观察值7 |6 S) D d* C/ H" ]+ A1 D; ] t
One sided test, 单侧检验) p) k) w+ I+ r
One-way analysis of variance, 单因素方差分析1 c, H+ q- {$ p* U
Oneway ANOVA , 单因素方差分析
5 r2 b' h$ ^) L) c. K) XOpen sequential trial, 开放型序贯设计 e e; Q0 ^) n( G
Optrim, 优切尾6 U2 S4 e" O, M% ~2 l
Optrim efficiency, 优切尾效率
6 C ?& a0 V' X. b+ ?2 D3 i" iOrder statistics, 顺序统计量- y; v, n9 S9 t: i" ~& K2 q
Ordered categories, 有序分类* q2 \ \& U* i- c: F" c ~
Ordinal logistic regression , 序数逻辑斯蒂回归
( z! l7 v% N' l% p; AOrdinal variable, 有序变量* E+ j9 r8 a1 g* Y$ M
Orthogonal basis, 正交基" `! r5 X& k" K& a+ J) B
Orthogonal design, 正交试验设计
7 m$ M5 M# Y, K/ n% vOrthogonality conditions, 正交条件
4 H; w/ r& B% w5 e6 G* kORTHOPLAN, 正交设计
. {# L. ^4 m# o; S6 @* x2 X) Q; [Outlier cutoffs, 离群值截断点
, y8 S$ C0 V8 ]7 b5 ]% O2 tOutliers, 极端值* ^& A7 I1 J6 K+ M
OVERALS , 多组变量的非线性正规相关
3 Y( f/ p( E# G6 Q% NOvershoot, 迭代过度( l7 D3 n N" m. \! ?7 @5 ?1 A
Paired design, 配对设计
% @) i0 Y8 X8 k$ Z G; IPaired sample, 配对样本* ^4 {) H7 V7 Y+ f
Pairwise slopes, 成对斜率
, f2 ^2 M" X5 k( ]Parabola, 抛物线4 D0 j0 m) u) _! u" x
Parallel tests, 平行试验8 I( V, o+ J! p; B8 N
Parameter, 参数( j5 D4 g4 ~, D3 L% t8 _$ d* |9 W( U: J
Parametric statistics, 参数统计, [+ v* E6 Z; ?" @- _" V3 F
Parametric test, 参数检验
8 ]& A0 g/ D$ [+ |2 I7 o6 XPartial correlation, 偏相关; R3 i1 f$ S- [' O8 g' p9 c) U
Partial regression, 偏回归
* x6 p+ I3 {3 g7 Q3 y) L6 jPartial sorting, 偏排序
0 s' h% D0 T! D- g; D. p8 T3 SPartials residuals, 偏残差3 s" W2 n3 a/ V$ Z4 }
Pattern, 模式) |& ?2 j: g$ A) s$ P
Pearson curves, 皮尔逊曲线/ s t* K+ c, w. f/ Z
Peeling, 退层) Z8 Y. x) O. k) W
Percent bar graph, 百分条形图/ _$ U8 a, N8 L
Percentage, 百分比, [* N5 v7 T, B
Percentile, 百分位数
; d* ?3 a6 R2 l( APercentile curves, 百分位曲线3 b2 k+ g9 o6 ~, Y: n
Periodicity, 周期性
9 b. B, V: L) g) zPermutation, 排列
U8 v! t! I* Z0 f! CP-estimator, P估计量
$ k5 t# F) J4 K( L/ KPie graph, 饼图 x8 a$ l! P7 h
Pitman estimator, 皮特曼估计量3 H3 B# n$ u4 q- O; E/ o- |
Pivot, 枢轴量
; x4 x: e) C9 L! o) W4 Y; E4 JPlanar, 平坦
" F ]) K' {' O7 O1 h; N* RPlanar assumption, 平面的假设
- k; r8 u" e' f) g2 @PLANCARDS, 生成试验的计划卡
& f: Q* M% Q/ `* f3 mPoint estimation, 点估计* U% y7 t3 e' [, `% |
Poisson distribution, 泊松分布
6 a, D: A ^9 x: vPolishing, 平滑
' |. W& H/ i7 T! y4 }! r( qPolled standard deviation, 合并标准差( g( D1 b' B* B' Y8 g& _8 V
Polled variance, 合并方差# k l) { d5 N; u. I
Polygon, 多边图
h! R) F- I+ KPolynomial, 多项式. k6 N& z6 X2 Q$ p# q
Polynomial curve, 多项式曲线& ]: t* }4 q1 K, N; |/ a' g
Population, 总体: ^3 a3 B \) [" ]
Population attributable risk, 人群归因危险度
3 O5 F: F0 Z# V' P" fPositive correlation, 正相关
" H( I. j" v5 s, P5 L( PPositively skewed, 正偏; s( K& s; n& N. M% J8 q' I
Posterior distribution, 后验分布0 u' {, v2 g( Q5 E; n( _& Y
Power of a test, 检验效能
6 N$ [& L2 I6 ^, X# {Precision, 精密度( x+ l& u7 x+ N% M$ ~
Predicted value, 预测值
$ R. O m- O5 T9 oPreliminary analysis, 预备性分析4 g; d& p g8 V: h) R8 @
Principal component analysis, 主成分分析
, `/ W# K! @+ O5 }" g! I, s+ `2 L$ UPrior distribution, 先验分布
: ^6 e8 `9 A: X p+ h5 RPrior probability, 先验概率
- r( Y& K W' F6 _# l/ B, aProbabilistic model, 概率模型
0 V) |9 q' E2 Q- ^1 t6 mprobability, 概率
% G1 p z1 h/ F8 l TProbability density, 概率密度; S' _9 o& ^* w6 M
Product moment, 乘积矩/协方差
& N# O" V/ Z/ ~3 m6 DProfile trace, 截面迹图- y! c1 B! l% u" M! c/ b# [6 ~
Proportion, 比/构成比
+ V/ T5 G& ] L- i0 D8 H6 PProportion allocation in stratified random sampling, 按比例分层随机抽样5 V/ V& v, }( S8 Z) S8 _% C2 t
Proportionate, 成比例
5 k) h# J9 Y' p1 W" I' f" i5 S( G) NProportionate sub-class numbers, 成比例次级组含量
8 j+ `( z( s& M& R, EProspective study, 前瞻性调查
/ Q, p) Y) ~- R' n7 C/ E" `Proximities, 亲近性 T% i. Y4 @3 Z/ j
Pseudo F test, 近似F检验
. l& d& R' N5 N- _ F) ~Pseudo model, 近似模型" R1 \. u5 k l
Pseudosigma, 伪标准差! x* _6 y9 x L, F' {
Purposive sampling, 有目的抽样
" K# Y' p5 _& v# H7 nQR decomposition, QR分解
: J/ Y1 y* h2 o# u' K2 SQuadratic approximation, 二次近似5 `. | R6 l8 S8 l4 `
Qualitative classification, 属性分类
& [. s. J) s3 ?, K z0 e& M/ I8 fQualitative method, 定性方法6 n# V2 x$ n$ r- \) X- Q
Quantile-quantile plot, 分位数-分位数图/Q-Q图* k9 O t, H$ q( x0 z- ]
Quantitative analysis, 定量分析
2 m w1 t8 ^- x4 ]0 \Quartile, 四分位数. y8 B$ {+ t( n2 [* ~2 d6 M0 k3 B
Quick Cluster, 快速聚类" ~2 o* t& q+ D+ d" w9 l/ K) y
Radix sort, 基数排序% R7 B; v; e" A) V0 g
Random allocation, 随机化分组
9 L( u: Y: [9 Z0 H. ~$ CRandom blocks design, 随机区组设计+ J7 p* }* b# ]* [, l
Random event, 随机事件
" e) V: p" M; `5 fRandomization, 随机化) L/ M0 O- \( n" L
Range, 极差/全距
* t. i6 \' w- b! bRank correlation, 等级相关
, L4 q, Y6 c/ @4 gRank sum test, 秩和检验
( }3 K4 c4 D7 K/ O7 } ~& a) }Rank test, 秩检验
3 X. |; e& N$ O' o6 h% q VRanked data, 等级资料8 {% l3 i6 e# S" j6 a% x
Rate, 比率
1 Z, {; M, t) }% nRatio, 比例
& p0 ~2 m6 f- i4 ^, ^Raw data, 原始资料) q* |1 M0 V" J+ S
Raw residual, 原始残差& U6 w: d3 }* T4 f9 J
Rayleigh's test, 雷氏检验
: K" S6 u+ I4 q6 N Q3 E$ vRayleigh's Z, 雷氏Z值
; Q' G4 x' }% @9 hReciprocal, 倒数
$ h, Q) h9 r2 L. A! @ WReciprocal transformation, 倒数变换 X( t4 c2 [; y* F$ A* A! g
Recording, 记录' _ L4 Y" D/ d* a7 r8 @2 c
Redescending estimators, 回降估计量! Y8 L8 @- q2 i% x' o
Reducing dimensions, 降维3 Q" X" ]( m6 J' V
Re-expression, 重新表达
( V" p0 |& j; t! ^: U; J& IReference set, 标准组
7 {! n; C& q8 B! O# O( pRegion of acceptance, 接受域/ ~$ i. m2 g/ k' f8 G
Regression coefficient, 回归系数
1 {+ w, a$ H$ q+ \9 H; mRegression sum of square, 回归平方和
6 \1 U& O$ l6 G; ARejection point, 拒绝点" w) Q" g' f6 b0 W) ]
Relative dispersion, 相对离散度- K2 \5 L0 u; {" p
Relative number, 相对数9 H2 a* }6 P+ [1 i
Reliability, 可靠性3 H* j7 A& E( ? o6 G' t
Reparametrization, 重新设置参数$ \2 r3 q/ j8 J$ \' s6 _% y
Replication, 重复2 r' J. P8 ]1 q9 x! A0 j
Report Summaries, 报告摘要
[; M2 Y; k2 U5 e; ]0 U( X( NResidual sum of square, 剩余平方和5 n+ b: @ _) k
Resistance, 耐抗性
+ n' G; b+ L+ ZResistant line, 耐抗线
$ y+ @& l5 @, \* V! A0 H/ NResistant technique, 耐抗技术1 z0 ]7 J5 W. U, x
R-estimator of location, 位置R估计量
; k3 q, R2 S- i; [R-estimator of scale, 尺度R估计量
& E4 c; f7 Z% A% cRetrospective study, 回顾性调查0 T/ ~0 c& {, b2 K
Ridge trace, 岭迹
7 Z" r7 Q6 {# u/ FRidit analysis, Ridit分析
& T$ x7 G5 `0 G8 r( MRotation, 旋转7 N8 R2 M+ W! f9 ?4 |
Rounding, 舍入. Z8 d, `' d% Q9 t) a; m
Row, 行- {- ?. ]8 w( k' E s) C
Row effects, 行效应' v+ V* G$ o, M7 y/ [
Row factor, 行因素; q' [5 n. C! ?, q; s9 F0 Y9 V9 _; h1 t
RXC table, RXC表* k0 q; J8 i- Z8 U7 P% q
Sample, 样本, T% l" a; `, | b( `
Sample regression coefficient, 样本回归系数1 r4 E1 e: C) q! h
Sample size, 样本量8 b/ m" h" }) `" }* X
Sample standard deviation, 样本标准差% e% A$ C6 H5 p: [% d6 Z W1 f
Sampling error, 抽样误差; m& ?" t/ T' e2 M: n5 B
SAS(Statistical analysis system ), SAS统计软件包
/ j5 D2 U! y; A0 nScale, 尺度/量表
5 f' M9 R' d* w- C% n; uScatter diagram, 散点图
7 h+ o3 [, G1 ?; MSchematic plot, 示意图/简图6 l& p5 k2 o8 {; Y' ]7 m Q" ~
Score test, 计分检验 ^0 B, {" `3 Q5 U' X' K' G
Screening, 筛检
5 Z F. b& Y9 m2 e4 f4 O% t5 l sSEASON, 季节分析 8 ^( [9 ~% b7 J$ O8 p6 g
Second derivative, 二阶导数1 ?5 }7 D# ]/ \; h5 j
Second principal component, 第二主成分2 z5 Y1 p8 T' S; p0 K7 ^8 Q$ k
SEM (Structural equation modeling), 结构化方程模型
4 x T/ a; j% |9 ySemi-logarithmic graph, 半对数图' t$ c$ `# e6 e x
Semi-logarithmic paper, 半对数格纸
( o9 A: j6 }( xSensitivity curve, 敏感度曲线
$ L+ | H. \! HSequential analysis, 贯序分析
8 s$ q/ d7 P9 n9 p ]/ c9 l3 `Sequential data set, 顺序数据集
9 i% z! y. |# M) G. g8 N( P8 LSequential design, 贯序设计+ l' `% _9 z. u6 R# \1 Y/ a; L
Sequential method, 贯序法
% Y$ t+ F8 }9 Q8 `7 ~. h& V% vSequential test, 贯序检验法9 i& I+ H* A0 H# ^7 Q& O- Y
Serial tests, 系列试验* Q1 f, i6 Y9 x7 y. W
Short-cut method, 简捷法
! o. U! Q0 B# w2 A+ U0 r, r( f! [Sigmoid curve, S形曲线
4 I: e) W1 Y$ _3 v7 _Sign function, 正负号函数/ D' L# a* r0 l: n1 a* b$ N
Sign test, 符号检验
9 a' t# |6 W, L0 \% {! }9 pSigned rank, 符号秩
2 K9 b/ Q4 S' o8 h, ^' jSignificance test, 显著性检验
; B, \( T6 z9 c2 B7 h$ L' \Significant figure, 有效数字; x$ `6 |( P. r. G
Simple cluster sampling, 简单整群抽样
* H1 J1 {) ^. Q" E- R* [1 YSimple correlation, 简单相关
" i$ g8 Y, ]+ f2 B1 o; FSimple random sampling, 简单随机抽样
: B _' I2 y3 q+ Z0 R U8 Y4 n. n7 }# gSimple regression, 简单回归/ `) S( q" ]: a0 U9 p: Z# }: v+ ~
simple table, 简单表
$ H! O$ A- N4 [; e3 P/ zSine estimator, 正弦估计量* ?& T9 ?9 Q& I1 W, L
Single-valued estimate, 单值估计
5 p- H' K" P2 J# [2 U- X% ]2 N; ASingular matrix, 奇异矩阵& o; Q$ F, q/ G7 B7 i/ o# N
Skewed distribution, 偏斜分布4 |, e9 F: f& j1 q
Skewness, 偏度- Z0 i( q. J) I6 l& O& G
Slash distribution, 斜线分布
7 w- O% a) z4 \. SSlope, 斜率
1 @# R, {) E7 cSmirnov test, 斯米尔诺夫检验. D9 ?9 ~7 }+ L. U* z9 Q6 C
Source of variation, 变异来源9 p6 T9 I. b, o0 g8 m
Spearman rank correlation, 斯皮尔曼等级相关+ x, V8 O V. ]; V
Specific factor, 特殊因子
& \. C4 L: a5 ESpecific factor variance, 特殊因子方差
0 j* C A, C$ p5 W. ]% i5 k7 D7 D7 z: ~Spectra , 频谱, |" {# \& T5 H8 P1 H7 D
Spherical distribution, 球型正态分布" M5 n! z" _9 l7 P/ y
Spread, 展布
8 x. o4 h% m. F" RSPSS(Statistical package for the social science), SPSS统计软件包
- t$ T0 g. z I; l8 SSpurious correlation, 假性相关2 ~- C, y% G% x$ X, c
Square root transformation, 平方根变换
" f0 }. }7 T: _; OStabilizing variance, 稳定方差! g, g/ b+ A* j2 J2 C
Standard deviation, 标准差0 o7 i$ Q: O# f* \- A: A0 {$ ~3 k
Standard error, 标准误
' m' c8 a% u! i; `; n1 _ e7 a, jStandard error of difference, 差别的标准误
7 [7 S! v) W( S: AStandard error of estimate, 标准估计误差
0 j; Q8 P" \) j5 o0 D& KStandard error of rate, 率的标准误8 S) V. y' k& R, M6 ~
Standard normal distribution, 标准正态分布
6 C# U6 Z( H1 [2 n# sStandardization, 标准化
6 B7 W! w+ R4 {& w! a! H. rStarting value, 起始值( l' t3 B- G" e1 e
Statistic, 统计量" t. j6 ?( r# F
Statistical control, 统计控制
$ [ A2 Q/ D% J+ z8 Y& S0 b+ AStatistical graph, 统计图
. a w) h. b8 WStatistical inference, 统计推断
7 X5 |3 v8 R. l/ L0 ?Statistical table, 统计表
# N4 D q! V; ~; Q3 k2 SSteepest descent, 最速下降法
5 y/ ]3 F/ K8 h% A+ \6 VStem and leaf display, 茎叶图
* C; q* j+ S/ _( V& Y) Z2 XStep factor, 步长因子- z; k" m" a- `7 O4 R5 f0 Y
Stepwise regression, 逐步回归! w% Z2 |" C. I* f% s( K6 V
Storage, 存1 }/ s) Z/ D" w( s& Y
Strata, 层（复数）
# q X2 G3 z( V/ ]/ ~1 WStratified sampling, 分层抽样
0 n# ^1 H# K0 \+ T: w" z. W$ fStratified sampling, 分层抽样& A7 x$ s3 i3 ^: x. [& j( M
Strength, 强度) [" X& K4 Y. M$ m
Stringency, 严密性
+ u7 D. p' `. FStructural relationship, 结构关系, Q4 k. X) m+ l7 q: s9 [/ d
Studentized residual, 学生化残差/t化残差
7 u1 y" R, `4 ^; p) h0 bSub-class numbers, 次级组含量
- r' m8 X6 X5 p! m4 A2 w7 D- x+ P8 \Subdividing, 分割
/ c% E* d7 C- _" oSufficient statistic, 充分统计量/ v1 p; Q' h- |" H) S
Sum of products, 积和
8 i; D3 C3 |3 _Sum of squares, 离差平方和
5 Q0 ~3 a! q. e+ T4 V' }# O5 pSum of squares about regression, 回归平方和9 v% k" ]# `3 b9 ~
Sum of squares between groups, 组间平方和
6 s/ P3 W9 Z" M% Q6 lSum of squares of partial regression, 偏回归平方和; x+ ]5 x1 v5 ~. k: M4 T7 k$ J; v% S
Sure event, 必然事件8 @) }/ H% _. H/ s2 O) [
Survey, 调查8 E! t7 W5 Y) U2 A7 l8 s3 p6 Y
Survival, 生存分析7 g5 X( J5 v. M: p) i# [' k8 @1 [
Survival rate, 生存率2 D7 E1 ~6 M, v0 x) |
Suspended root gram, 悬吊根图. [, A3 m( ]% s' S" n
Symmetry, 对称! h/ E# c5 }- O( @
Systematic error, 系统误差7 M4 c) V7 C5 D+ [
Systematic sampling, 系统抽样# g3 a8 d3 i; Z# J
Tags, 标签
% N5 \: I1 m3 n! E5 ITail area, 尾部面积& M2 J& {7 G7 q" y6 K3 ^5 c
Tail length, 尾长- f- B7 M# g9 D% d* u8 N3 Z
Tail weight, 尾重
! m$ U- Y Y: G0 OTangent line, 切线$ V: f) Q$ c3 b# L8 _; j
Target distribution, 目标分布
8 C2 Z6 q" W8 Y, tTaylor series, 泰勒级数
% p6 J4 |8 N& ?Tendency of dispersion, 离散趋势( N7 Z3 |+ \( K& M1 A5 y
Testing of hypotheses, 假设检验- a& e2 T' X. O
Theoretical frequency, 理论频数
2 S5 X) X' F. T9 b- [; uTime series, 时间序列
5 a5 p% r& B5 BTolerance interval, 容忍区间
; Z! ^8 ~6 i( a7 m% t' ^" TTolerance lower limit, 容忍下限
+ c- D. J3 m4 }) Z! A. JTolerance upper limit, 容忍上限5 E. k1 k/ z" X0 R1 q: k7 {) s- V
Torsion, 扰率
9 S& y3 }0 A+ k/ x5 [3 G/ MTotal sum of square, 总平方和+ V& Q B9 O2 V8 X5 b8 C
Total variation, 总变异
& C, [& T! [$ N( eTransformation, 转换0 x9 L9 n5 Z1 T, [9 Q% x
Treatment, 处理/ g1 O ]! G0 b; H% c* M
Trend, 趋势
. c. P# T6 v9 g6 `Trend of percentage, 百分比趋势/ b4 K7 n1 U ^( Q3 k
Trial, 试验
% Y$ U# \( K; l4 wTrial and error method, 试错法& a% k) I$ u5 g6 C; |: T. n
Tuning constant, 细调常数% [# M2 B, g: l E, m
Two sided test, 双向检验) Q6 n: J- A" r! y% s F9 |
Two-stage least squares, 二阶最小平方' }4 y! B2 v$ n5 }! N) W
Two-stage sampling, 二阶段抽样
% x, z7 H* [4 l. iTwo-tailed test, 双侧检验7 r* e7 N" T [) c V0 R( f0 C
Two-way analysis of variance, 双因素方差分析4 u! r- g6 z' b* t
Two-way table, 双向表' M& {$ Y; E4 y' W
Type I error, 一类错误/α错误
w' J" J; A3 i7 i+ A% aType II error, 二类错误/β错误
1 C- G8 l' g* i0 O* j% ]UMVU, 方差一致最小无偏估计简称! e0 A9 n$ |. r! Q: J# o8 V% E( T" h9 N
Unbiased estimate, 无偏估计' K% _7 Y0 E0 z2 |/ |% s
Unconstrained nonlinear regression , 无约束非线性回归
6 n' ^8 ?8 r( T. p Y( E, xUnequal subclass number, 不等次级组含量
! z9 m0 I4 D1 w1 W! R- T. N1 F1 VUngrouped data, 不分组资料4 A2 S3 X5 U1 X/ Y0 v3 J: j# f
Uniform coordinate, 均匀坐标
( \6 A7 e) e/ q! }3 Z' ~, R4 TUniform distribution, 均匀分布: D+ |# e* F- r% D1 D
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计, S% F; u' _2 j/ y5 Y
Unit, 单元, q, I G/ h8 M' Y* M
Unordered categories, 无序分类
3 x; S; |4 ~, i: b( X& ~; a% kUpper limit, 上限
( G2 p) K* M$ e7 t5 x5 bUpward rank, 升秩4 b7 Y! F% r- C9 i" A7 b
Vague concept, 模糊概念
- X8 P! r5 K; }Validity, 有效性
$ k1 F" t2 [: V4 h* O% CVARCOMP (Variance component estimation), 方差元素估计$ q3 J; T( j2 B5 j7 ]$ J
Variability, 变异性' l. M# k9 Z! b# V# \
Variable, 变量- l9 V: O3 c# \4 Y/ c6 t
Variance, 方差+ R: i: |& e' f0 b/ D
Variation, 变异
. L0 I4 y; U) k( gVarimax orthogonal rotation, 方差最大正交旋转! W8 }+ y# x6 o1 S8 C- S
Volume of distribution, 容积 w: d/ i5 t- C) B6 W
W test, W检验8 ] a Y, q1 Z% L5 {7 c
Weibull distribution, 威布尔分布
; J' D |5 Z/ R$ g5 s) P( D5 B oWeight, 权数6 q7 Q3 a6 H u ~" k
Weighted Chi-square test, 加权卡方检验/Cochran检验" O& D4 J; g' T6 {8 F( R& ?
Weighted linear regression method, 加权直线回归
9 y3 q4 o6 R# \8 L0 H' s& cWeighted mean, 加权平均数
+ M9 `. I% a- x" n2 DWeighted mean square, 加权平均方差
5 F5 t0 f- k1 P3 {! t3 |8 J3 gWeighted sum of square, 加权平方和
& f" I& |) y9 v+ \1 S6 o/ s0 oWeighting coefficient, 权重系数
# o* Q) h: i, \Weighting method, 加权法 - V7 k8 L) e, C; @+ d$ ~# X- O; O' H
W-estimation, W估计量: v. \* d) d) @6 i, @6 b
W-estimation of location, 位置W估计量
$ ^- w; o O; F+ zWidth, 宽度
8 Q4 o/ q5 x7 q; JWilcoxon paired test, 威斯康星配对法/配对符号秩和检验/ u: F5 t# A/ J. P3 j
Wild point, 野点/狂点+ z! @- c" o0 O3 p) o# f8 C1 {* b
Wild value, 野值/狂值
* Z( |5 g# v& _& E6 c, ^: Y2 K" dWinsorized mean, 缩尾均值
0 O& U3 s5 H7 W" e1 yWithdraw, 失访 3 Y) d; @8 p/ x0 T4 W
Youden's index, 尤登指数
( Z) C: N& h; xZ test, Z检验
& {. R$ l, r9 j: w3 D4 m9 zZero correlation, 零相关/ L% x% d. b0 }& v
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
